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公开(公告)号:US20230309936A1
公开(公告)日:2023-10-05
申请号:US18023895
申请日:2021-08-26
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: AXEL SAALBACH , ILYAS SIRAZITDINOV , LEONHARD STEINMEISTER , HARALD ITTRICH , MATTHIAS LENGA , IVO MATTEO BALTRUSCHAT , MICHAEL GRASS
CPC classification number: A61B6/12 , G06T7/0014 , G06T7/74 , G16H50/20 , G16H20/40 , A61M2025/0166
Abstract: The present invention relates to a system and a method for automatic verification of a positioning of a medical device with respect to an anatomy of a patient in a medical image. A position of a plurality of reference points in a medical image is detected. Further, a presence and a position of a medical device in the medical image is detected. An expected position of the medical device is determined based on the position of the plurality of reference points, and a measure of a correctness of the positioning of the medical device is provided based on a proximity of the position of the medical device to the expected position of the medical device. The measure of the correctness of the positioning of the medical device is provided.
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公开(公告)号:US20240257345A1
公开(公告)日:2024-08-01
申请号:US18564246
申请日:2022-05-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: MICHAEL GRASS , IVO MATTEO BALTRUSCHAT , AXEL SAALBACH
CPC classification number: G06T7/0012 , G16H30/40 , G06T2207/10088 , G06T2207/10116 , G06T2207/30004 , G06T2207/30168
Abstract: The present invention relates to an apparatus (10) for medical image analysis, comprising: a camera (20); a processing unit (30); and an output unit (40). The camera is configured to be placed in proximity of a system image display of a medical imaging system. The camera is configured to acquire a local image of a system image displayed on the system image display, wherein the system image comprises medical image data of a patient and wherein the local image comprises local image data of the medical image data of the patient. The processing unit is configured to determine a plurality of image and imaging parameters, the determination comprising utilization of the local image. The processing unit is configured utilize the plurality of image and imaging parameters to determine a process decision to: either determine if the local image data of the medical image data is suitable for further processing; or determine if a new local image is to be acquired and a new plurality of image and imaging parameters determined for the new local image and the new plurality of image and imaging parameters utilized to determine a new process decision. The output unit is configured to output image data.
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公开(公告)号:US20220319160A1
公开(公告)日:2022-10-06
申请号:US17620142
申请日:2020-06-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: ALEXANDRA GROTH , AXEL SAALBACH , IVO MATTEO BALTRUSCHAT , JENS VON BERG , MICHAEL GRASS
IPC: G06V10/82 , G06T7/00 , G06V10/774 , G06V20/70 , G06V10/96
Abstract: Multi-task deep learning method for a neural network for automatic pathology detection, comprising the steps: receiving first image data (I) for a first image recognition task; receiving (S2) second image data (V) for a second image recognition task; wherein the first image data (I) is of a first datatype and the second image data (V) is of a second datatype, different from the first datatype; determining (S3) first labeled image data (IL) by labeling the first image data (I) and determining second synthesized labeled image data (ISL) by synthesizing and labeling the second image data (V); training (S4) the neural network based on the received first image data (I), the received second image data (V), the determined first labeled image data (IL) and the determined second labeled synthesized image data (ISL); wherein the first image recognition task and the second image recognition task relate to a same anatomic region where the respective image data is taken from and/or relate to a same pathology to be recognized in the respective image data.
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公开(公告)号:US20210338185A1
公开(公告)日:2021-11-04
申请号:US17285968
申请日:2019-10-18
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: AXEL SAALBACH , TOM BROSCH , TIM Philipp HARDER , HRISHIKESH NARAYANRAO DESHPANDE , EVAN SCHWAB , IVO MATTEO BALTRUSCHAT , RAFAEL WIEMKER
Abstract: This application proposes an improved medical imaging device enabling a timely communication of critical findings. The medical imaging device comprises an image acquisition unit, adapted to acquire image data of a subject to be imaged. The medical imaging device further comprises a local data processing device having an artificial-intelligence-module, Al-module, adapted to automatically detect a finding on basis of the acquired image data and to determine a priority status of the detected finding. Further, the medical imaging device comprises a notification module, adapted to provide, if the determined priority status reaches or exceeds a notification threshold, a notification data containing the detected finding. The application further proposes a medical imaging system, a method of operating a medical imaging device, a computer program element and a computer-readable medium having stored the computer program element.
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